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About
Detailed Case Study
Faster Detection of Unmapped Consumers, Leakage, and Backflow Cases
About the Customer
A major water utility manages over 480,000 smart meters across commercial, and industrial customers. Their goal was to enhance revenue protection, compliance and reduce non-revenue water (NRW).
At a Glance: The Challenges
Inconsistent data: Meter readings often occurred at different cadences making it hard to test for completeness.
Delayed anomaly detection: Intermittent/silent meters were only discovered downstream at billing.
Revenue leakage: There were meters that remain unmapped over time, but consuming which added to expenditure.
Operational risks: There was no single source of truth for Operations, Billing and Customer Service Resolution (CSR).
Compliance issues: Lack of a fast and auditable framework in response to backflow incidents.
How the Customer Used Grid
The utility implemented Grid's Operations Intelligence Platform to unify data flows, automate anomaly detection and improve governance.
Cadence-aware completeness: Comparing expected vs. actual meter readings across regions to surface gaps early.

Leakage detection: Segment-based thresholds (residential vs. industrial) for proactive field operations.

Backflow monitoring: Sustained reverse flow events are now engaged and flagged as high-priority safety tickets.
Revenue recovery: Auto-identification of unmapped but consuming meters, which are then routed for resolution.
Unified reporting: Automated O&M and billing reports, eliminating spreadsheets and silos.
Key Benefits
Revenue protection: Closing the loops on unmapped meters and reducing losses
Operational efficiency: Single dash reporting and dashboarding that reduces disputes
Regulatory confidence: Ensuring meter logs are audit ready for leak, backflow, and consumption events.
Customer service: Proactive anomaly resolution reducing billing shocks and improving trust.
Grid’s Impact
480,000+ active smart meters monitored
424,951 meters communicating (88.2% coverage)
95,430 devices with leak alarms in 72 hours
1,159 backflow incidents detected in first 3 days
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